January 01, 2014 conference-paper Methods to Avoid Over-Fitting and Under-Fitting in Supervised Machine Learning (Comparative Study) DOI: 10.3850/978-981-09-5247-1_017 OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 333 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Long Short-Term Memory to Predict the Quality Parameters in the Hot Rolling Process 2026 Key engineering materials article Engineering Metallurgy and Material Forming Open access 0 citations Machine Learning Techniques for Developing Remotely Monitored Central Nervous System Biomarkers Using Wearable Sensors: A Narrative Literature Review 2023 Sensors article Computer Science Context-Aware Activity Recognition Systems Open access 11 citations Biases in Data Science Lifecycle 2020 arXiv (Cornell University) preprint Social Sciences Ethics and Social Impacts of AI Open access 8 citations 3 results References 0